Triple
T5404510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carowinds |
E120857
|
entity |
| Predicate | CopperheadStrikeType |
P63795
|
FINISHED |
| Object | launched coaster |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: launched coaster | Statement: [Carowinds, CopperheadStrikeType, launched coaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CopperheadStrikeType Context triple: [Carowinds, CopperheadStrikeType, launched coaster]
-
A.
attackType
Indicates the specific method, style, or category of attack used in an aggressive or hostile action between entities.
-
B.
weaponUsedAgainst
Indicates that a particular weapon or instrument is employed in an act of aggression, attack, or harm directed toward a specific target or entity.
-
C.
Tornado ADV
Indicates that the action or event occurs in the manner of, or under conditions characterized by, a tornado (e.g., violently, turbulently, or with tornado-like intensity).
-
D.
warheadTypes
Indicates the types or categories of warheads associated with a given weapon or delivery system.
-
E.
involvesWeaponType
Indicates that the relationship or action includes the use, presence, or association of a specific type or category of weapon.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8931302c81908afcb0f011e91f09 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:05 p.m.